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Publications of M.Sc Mikail Yayla


  • Global by Local Thresholding in Binarized Neural Networks for Efficient Crossbar Accelerator Design.
    Mikail Yayla
    , Fabio Frustaci, Fanny Spagnolo, Jian-Jia Chen, Hussam Amrouch
    (under review)
  • TREAM: A Tool for Evaluating Error Resilience of Tree-based Models using Approximate Memory.
    Mikail Yayla
    , Zahra Valipour Dehnoo, Mojtaba Masoudinejad, and Jian-Jia Chen
    SAMOS XXII International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (Accepted for publication)
  • Memory-Efficient Training of Binarized Neural Networks on the Edge.
    Mikail Yayla and Jian-Jia Chen
    Design Automation Conference (DAC'22, accepted for publication)
  • Reliable Binarized Neural Networks on Unreliable Beyond von-Neumann Architecture.
    Mikail Yayla, Simon Thomann, Sebastian Buschjäger, Katharina Morik, Jian-Jia Chen, and Hussam Amrouch
    IEEE Transactions on Curcuits and Systems I (TCAS-I)
  • Deep Learning Based Driver Model and Fault Detection for Automated Racecar System Testing.
    Yousef Abdulhamed, Christoph Schaefer, Mikail Yayla, Ching-Chi Lin, Jian-Jia Chen
    European Automotive Reliability, Test and Safety (eARTS), DATE'22 Workshop





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